Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook.

Inviting applications for the role of Senior Data Engineer - 10-12yrs relevant experience.

Responsibilities

- Analyze large-scale structured and unstructured datasets using Databricks and PySpark.
- Develop cost and usage reports using Databricks SQL and PySpark.
- Develop PySpark notebooks to process large-scale cloud billing and usage data.
- Build and maintain FinOps data models within Databricks Lakehouse.
- Ingest cloud billing data from AWS CUR, Azure Cost Management, and vendor sources.
- Create curated FinOps datasets for reporting and forecasting.
- Optimize data processing jobs for performance and cost efficiency.
- Build scalable Databricks notebooks and workflows.
- Develop ETL/ELT processes for FinOps data integration.
- Leverage Delta Lake for cost analytics datasets.




- Optimize Spark jobs and SQL workloads.

Qualifications we seek in you!

Minimum Qualifications

- Bachelors degree in computer science, Information Technology, Data Science, Statistics, Mathematics, or related field.
- 10–15 years of experience in Data Analytics, Business Intelligence, or Data Engineering roles.
- Experience working with enterprise-scale data platforms.
- Experience with FinOps – Data Engineering would be preferred
- 5+ years of experience Develop and optimize PySpark notebooks for data transformation and analysis.
- 5+ years of experience Query and analyzing data using Databricks SQL and Spark SQL.
- Robust business acumen and ability to connect financial data to business value
- Excellent communication and executive presentation skills
- Experience working with cross-functional stakeholders at senior levels

Preferred Qualifications/ Skills

- Databricks Certified Data Analyst Associate
- Databricks Certified Data Engineer Associate
- Experience with FinOps and cost management tools:
- Apptio Cloudability
- AWS Cost Explorer
- Azure Cost Management
- Experience with automation tools and scripting (Python, APIs)
- Exposure to multi-cloud enterprise environments

📌 FinOps Sr Analyst - Data Analyst - Work from Office Role - Hyderabad
🏢 Genpact
📍 Hyderabad